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ENHANCING THE PERFORMANCE OF E-COMMERCE SOLUTIONS BY FRIENDS RECOMMENDATION SYSTEM AND NEO4J DATABASE

Authors

Shahina C P, Bindu P S and Surekha Mariam Varghese
M. A. College of Engineering, India

Abstract

In the past, selling needs brick and mortar store and it is limited to a local customer base. But today, ecommerce websites make it easy for the customers around the world to shop by virtual store. Performance of ecommerce websites depend not only the quality and price of the product but also the customer centric suggestions about the product and services and retrieval speed of websites. There is more possibility to buy a product brand suggested by friends or relatives than by viewing commends from unknown people. We can implement such a customer centric approach using Neo4j database, which provides easy and fast retrieval of information based on multiple customer attributes and relations than relational databases. Experiment shows the enhancement of performance in terms of time and complexity

Keywords

RDBMS,NOSQL,GRAPH DATABASE,NEO4J,E-COMMERCE,SOCIAL NETWORK,CYPHER QUERY LANGUAGE,MYSQL